Senior Data Engineer

Talentsis is a company based in Singapore.
Data
Senior Software Engineer
In-Person
5+ years of experience
Enterprise SaaS

Description For Senior Data Engineer

Talentsis is seeking a Senior Data Engineer to join their team in Singapore. This is a permanent, in-person role that offers an exciting opportunity to work with cutting-edge data technologies and architectures.

The ideal candidate will be responsible for designing and maintaining scalable data pipelines, collaborating with data scientists and analysts, and optimizing data storage solutions. You'll play a crucial role in ensuring data quality and integrity while contributing to architectural decisions that shape the company's data infrastructure.

With a required background of 5+ years in data engineering, you'll leverage your expertise in SQL databases (MySQL, PostgreSQL, MongoDB), data processing frameworks (Spark, Hadoop), and programming languages (Python, Java, Scala) to drive data solutions forward. Your experience with cloud platforms and ETL tools will be valuable in building robust data systems.

This role offers the perfect opportunity for a seasoned data engineer who enjoys solving complex problems and working in a collaborative environment. You'll be part of a team that values technical excellence, innovation, and continuous learning. The position requires strong analytical abilities combined with excellent communication skills to effectively collaborate with cross-functional teams.

As a permanent team member, you'll have the opportunity to make a lasting impact on the company's data infrastructure while working in Singapore's vibrant tech ecosystem. The role offers stability and the chance to grow with the company, making it an excellent opportunity for someone looking to take the next step in their data engineering career.

Join Talentsis to be part of a team that's committed to excellence in data engineering and values both technical expertise and collaborative spirit. Your contributions will be essential in shaping the future of our data architecture and driving business success through effective data solutions.

Last updated 3 months ago

Responsibilities For Senior Data Engineer

  • Design, build, and maintain scalable data pipelines to enable real-time and batch data processing
  • Collaborate with data scientists and analysts to understand data requirements and deliver solutions
  • Optimize and enhance data storage solutions, including data lakes and data warehouses
  • Ensure data quality and integrity by implementing appropriate testing and monitoring strategies
  • Conduct data profiling and analysis to improve data structure and accessibility
  • Stay abreast of industry trends and evaluate new data technologies and architectures
  • Participate in architectural reviews and provide input on system design

Requirements For Senior Data Engineer

Python
Java
MongoDB
MySQL
PostgreSQL
  • Bachelor's or Master's degree in Computer Science, Engineering, or related field
  • 5+ years of experience in data engineering or a related role
  • Proficiency in SQL and databases (e.g., MySQL, PostgreSQL, or NoSQL solutions like MongoDB)
  • Experience with data processing frameworks such as Apache Spark or Hadoop
  • Solid understanding of ETL processes and tools (e.g., Airflow, Talend)
  • Familiarity with cloud platforms (AWS, GCP, or Azure) for data management
  • Strong programming skills in Python, Java, or Scala
  • Exceptional analytical and problem-solving abilities
  • Excellent communication skills and a collaborative mindset

Benefits For Senior Data Engineer

  • Permanent role

Interested in this job?

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